NeTS: Small: Spectrum Sensing, Allocation, and Charging for Cognitive Radio Networks

本课题的目标是为大规模认知无线网络进行整体协议设计。为了支持大量的无线设备作为辅助用户动态访问可用信道，有必要为认知无线网络设计去中心化的架构和解决方案。本项目基于去中心化架构，解决动态频谱接入网络中频谱感知、频谱分配与定价、频谱使用监控与收费等重要问题。具体而言，本项目重点研究三个方面：(1)鲁棒的协同频谱感知算法，以容忍对手的任意虚假数据报告；(2)基于局部化和近似算法的高效频谱分配和定价方案，使大量二级用户共享频谱资源；(3)在不牺牲二级用户隐私的情况下，对二级用户的频谱使用情况进行监控和收费方案。提出的架构和相关问题的解决方案有可能显著推进认知无线电网络研究的最新进展，特别是在提高频谱共享效率方面。该项目开发的技术将促进各种科学和工程应用，并对社会产生重大影响。该项目将开展广泛的教育和外联活动，包括将研究成果纳入课程和课程，并让代表性不足的学生参与研究项目。研究成果将通过会议和期刊出版物、研究讲座以及通过互联网广泛传播。

The objective of this project is to conduct a holistic protocol design for large-scale cognitive radio networks. To support a large number of wireless devices as secondary users that able to dynamically access available channels, it is necessary to design decentralized architecture and solutions for cognitive radio networks. Based on the decentralized architecture, this project addresses important problems in spectrum sensing, spectrum allocation and pricing, and spectrum usage monitoring and charging in dynamic spectrum access networks. More specifically, this project focuses on three research thrusts: (1) A robust collaborative spectrum sensing algorithm to tolerate arbitrary false data reports from adversaries, (2) An efficient spectrum allocation and pricing scheme for a large number of secondary users to share spectrum resources based on localized and approximation algorithms, and (3) A scheme for monitoring and charging the spectrum usage of secondary users without sacrificing secondary users' privacy. The proposed architecture and the solutions to the relevant problems have the potential to significantly advance the state-of-the-art of cognitive radio networking research, in particular, in improving the efficiency of spectrum sharing. The technology developed in this project will facilitate a wide variety of scientific and engineering applications and result in a significant impact on the society. The project will perform a wide range of education and outreach activities, including integration of research findings into courses and curricula, and involving under-represented students in research projects. Research results will be broadly disseminated through conference and journal publications, research talks, and via the Internet.